package cn.hesion.mrreducejoin;
/**
 * ClassName: MRReduceJoinDirver <br/>
 * Description: <br/>
 * date: 2021/2/3 11:33<br/>
 *
 * @author Hesion<br />
 * @version
 * @since JDK 1.8
 */

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.NullWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import java.io.IOException;

/**
 * @program: ClientDemo
 * @description: MRJoin演示Driver端
 * @author: hesion
 * @create: 2021-02-03 11:33
 **/
public class MRReduceJoinDirver {
    public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
        // 1. 获取配置文件对象，获取job对象实例
        final Configuration conf = new Configuration();
        final Job job = Job.getInstance(conf, "ReduceJoinDriver");
// 2. 指定程序jar的本地路径
        job.setJarByClass(MRReduceJoinDirver.class);
// 3. 指定Mapper/Reducer类
        job.setMapperClass(ReduceJoinMapper.class);
        job.setReducerClass(ReduceJoinReducer.class);
// 4. 指定Mapper输出的kv数据类型
        job.setMapOutputKeyClass(Text.class);
        job.setMapOutputValueClass(DeliverBean.class);
// 5. 指定最终输出的kv数据类型
        job.setOutputKeyClass(DeliverBean.class);
        job.setOutputValueClass(NullWritable.class);
// 6. 指定job输出结果路径
        FileInputFormat.setInputPaths(job, new Path("D:\\大数据学习\\大数据正式班第一阶段模块一\\模块一\\资料\\MRjoin\\reduce_join\\input")); //指定读取数据的原始
// 7. 指定job输出结果路径
        FileOutputFormat.setOutputPath(job, new Path("d:/out")); //指定结果数据输出
// 8. 提交作业
        final boolean flag = job.waitForCompletion(true);
//jvm退出：正常退出0，非0值则是错误退出
        System.exit(flag ? 0 : 1);
    }
}
